Senior Product Manager, Executive Reporting & Business Intelligence

Cupertino, California, United States Sales and Business Development

Apple is a place where extraordinary people gather to do their best work. Together we craft products and experiences people once couldn't have imagined - and now can't imagine living without. If you're excited by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job!

Apple is looking for a world-class Product Manager to join our department - Data Solutions & Initiatives (DSI). This is an opportunity to lead our most executive-visible AI-powered products - including an executive reporting workbench used by senior leadership to start their day, and a natural-language product that lets leadership query the state of the business directly - and take ownership of our broader executive reporting and BI portfolio.

You'll be building tools that empower Senior Executive stakeholders, up to VP and executive level, to make faster, better-informed  this role, you will drive the strategic vision for these products, partnering with engineering, data, design, and our AI platform team to deliver insights that matter. You'll work directly with executives across the organization, from VP to executive level, to define and execute a multi-year product roadmap, with an explicit path to taking over full ownership.

• Lead the development, launch, and evolution of executive reporting and BI products, powering strategic decision-making for senior leadership
• Serve as the direct, primary product point of contact for VP- and executive-level stakeholders, translating ambiguous and evolving executive needs into clear product direction
• Manage the product lifecycle from ideation through launch and beyond, including road mapping, feature definition, and go-live strategy
• Champion experimentation with AI-driven capabilities, bringing a hands-on builder's mindset rather than waiting for proven patterns to emerge elsewhere
• Evangelize the product vision across the department and cross-functional teams to achieve product objectives
• Act as a liaison between business and technical teams, building long-lasting relationships with both
• Collaborate with program management to communicate project status, resolve issues, and ensure high-quality products are delivered on time
• Analyze and research business and usage data to propose and design solutions in collaboration with Engineering, Data, and Design partners
• Work in an agile team with a hands-on approach

• Experience with executive reporting, forecasting, or BI dashboard products specifically
• Proven track record of managing product development life cycles, building complex products with cross-functional partners including engineering, design, and business stakeholders
• 5+ years in a role demanding executive-facing judgment and ownership of outcomes - this may include product management, strategy/management consulting with real ownership rather than purely advisory work, or an early or founding product role at a start
• Direct, independent experience owning an ongoing relationship with a VP or executive-level stakeholder, without that relationship being brokered by someone else
• Demonstrated ability to sit with ambiguous, evolving executive requests and translate them into clear product requirements and team direction
• Comfort working with complex data and a solid understanding of analytics/BI concepts & SQL knowledge or hands-on experience with data analysis/query tools (e.g., Trino, Dremio)
• Ability to work effectively with engineering teams building AI/agent-powered features and data-pipeline-driven reporting — comfortable in technical conversations without needing to be the one writing the code
• Strong written and verbal communication skills, with the ability to distill technical and data complexity for senior leadership on short notice
• Ability to travel internationally as needed
• Bachelor’s degree in a business-related field (e.g., Business, Finance, Economics, Marketing) or a quantitative field (e.g., Statistics, Applied Mathematics) or equivalent practical experience

• Hands-on experience applying data analytics in Finance, Sales Operations, or Demand Management
• Direct experience building or shipping AI/LLM-powered product features, with a background of working with data science or AI platform teams to deliver intelligent features
• Comfortable prototyping and iterating through…